code: def test_backtester_scheduler_args(
      iclaims_training_data, scheduler_args
  ):
      df = iclaims_training_data
  
      lgt = LGT(
          response_col="claims",
          date_col="week",
          seasonality=1,
          verbose=False,
          estimator="stan-map",
      )
  
      backtester = BackTester(
          model=lgt,
          df=df,
          **scheduler_args,
      )
  
      backtester.fit_predict()
      eval_out = backtester.score(metrics=[smape])
      assert np.all(eval_out["metric_values"].values > 0)
  
file_path: orbit/tests/orbit/diagnostics/test_backtest.py
imports: import pytest
  import pandas
  import numpy
  from orbit.diagnostics.backtest import TimeSeriesSplitter, BackTester
  from orbit.diagnostics.metrics import smape, wmape, mae
  from orbit.models import LGT, KTRLite
label_desc: Use image node_id 2 for calling a global function with example usage: test_backtester_scheduler_args(iclaims_training_data, scheduler_args) without return types